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  1. Article ; Online: Benchmarking Measures of Network Influence.

    Bramson, Aaron / Vandermarliere, Benjamin

    Scientific reports

    2016  Volume 6, Page(s) 34052

    Abstract: Identifying key agents for the transmission of diseases (ideas, technology, etc.) across social networks has predominantly relied on measures of centrality on a static base network or a temporally flattened graph of agent interactions. Various measures ... ...

    Abstract Identifying key agents for the transmission of diseases (ideas, technology, etc.) across social networks has predominantly relied on measures of centrality on a static base network or a temporally flattened graph of agent interactions. Various measures have been proposed as the best trackers of influence, such as degree centrality, betweenness, and k-shell, depending on the structure of the connectivity. We consider SIR and SIS propagation dynamics on a temporally-extruded network of observed interactions and measure the conditional marginal spread as the change in the magnitude of the infection given the removal of each agent at each time: its temporal knockout (TKO) score. We argue that this TKO score is an effective benchmark measure for evaluating the accuracy of other, often more practical, measures of influence. We find that none of the network measures applied to the induced flat graphs are accurate predictors of network propagation influence on the systems studied; however, temporal networks and the TKO measure provide the requisite targets for the search for effective predictive measures.
    Language English
    Publishing date 2016-09-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/srep34052
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Cultural drift, indirect minority influence, network structure, and their impacts on cultural change and diversity.

    Jung, Jiin / Bramson, Aaron / Crano, William D / Page, Scott E / Miller, John H

    The American psychologist

    2021  Volume 76, Issue 6, Page(s) 1039–1053

    Abstract: The present research investigates how psychological mechanisms and social network structures generate patterns of cultural change and diversity. The two psychological mechanisms studied here are cultural drift and indirect minority influence; the former ... ...

    Abstract The present research investigates how psychological mechanisms and social network structures generate patterns of cultural change and diversity. The two psychological mechanisms studied here are cultural drift and indirect minority influence; the former is parameterized by an error rate ε) and the latter by a leniency threshold (λ). The patterns of cultural change are examined in terms of magnitude (small vs. large), speed (gradual vs. rapid), and frequency (frequent vs. rare). Diversity and polarization in a society are examined in terms of global cultural variation (inverse Simpson index) and local neighborhood difference (Hamming distance). Key findings are that in networks with high connectivity or local community structures (complete, scale-free, random, and modular networks) cultural drift can produce a rapid, large, and rare pattern of cultural change (punctuated equilibrium), whereas in lattice or small world networks, it produces a more gradual change pattern. Indirect minority influence robustly produces a gradual, small, and frequent pattern of cultural change (gradualism) across various network structures. When cultural change occurs in social networks that have a modular community structure, indirect minority influence generates a regime of cultural diversity whereas cultural drift generates a polarized regime. Finally, cultural drift and indirect minority influence generate distinct tipping points for social change in different network structures, but prediction of whether and when cultural change emerges is difficult at tipping points in both cases. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
    MeSH term(s) Cultural Diversity ; Minority Groups ; Residence Characteristics ; Social Change ; Social Networking
    Language English
    Publishing date 2021-12-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209464-2
    ISSN 1935-990X ; 0003-066X
    ISSN (online) 1935-990X
    ISSN 0003-066X
    DOI 10.1037/amp0000844
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The impact of functional and social value on the price of goods.

    Hoefman, Kevin / Bramson, Aaron / Schoors, Koen / Ryckebusch, Jan

    PloS one

    2018  Volume 13, Issue 11, Page(s) e0207075

    Abstract: According to hedonic pricing theory (HPT) market forces operate on individual characteristics of a good, and the price of a product is the aggregate of the price across those characteristics. The relationship between price and characteristics remains ... ...

    Abstract According to hedonic pricing theory (HPT) market forces operate on individual characteristics of a good, and the price of a product is the aggregate of the price across those characteristics. The relationship between price and characteristics remains poorly understood because characteristic qualities are hard to quantify, people have varying levels of information about characteristics, and people have heterogeneous preferences over characteristics. By analyzing data from a large, market-driven virtual world we are able to test HPT, while largely avoiding these pitfalls. We find that a linear model with functional characteristics predicts the prices poorly, but a log-linear model performs quite well. Adding social characteristics to this log-linear model improves the predictions substantially. This work strongly supports HPT and demonstrates a "rational" calculus including social value.
    MeSH term(s) Commerce ; Economic Competition ; Models, Economic ; Social Values
    Language English
    Publishing date 2018-11-12
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0207075
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book: Inference and intervention

    Ryall, Michael D / Bramson, Aaron L

    causal models for business analysis

    2014  

    Abstract: Introduction to causal analysis -- Qualitative causal models -- Application: interview case study -- Quantitative causal models -- Situational analysis -- Application: modeling business financials -- Single-agent interventions -- Application: disrupting ... ...

    Author's details Michael D. Ryall & Aaron L. Bramson
    Abstract Introduction to causal analysis -- Qualitative causal models -- Application: interview case study -- Quantitative causal models -- Situational analysis -- Application: modeling business financials -- Single-agent interventions -- Application: disrupting the taxi business -- Multi-agent interventions -- Data-driven causal modeling
    Keywords Business planning/Statistical methods ; Decision making/Mathematical models ; Decision making/Statistical methods ; Entscheidung ; Kausalanalyse ; Finanzmathematik
    Language English
    Size XIV, 261 S., graph. Darst.
    Publisher Routledge
    Publishing place New York, NY u.a.
    Document type Book
    ISBN 9780203076835 ; 9780415657594 ; 9780415657600 ; 0203076834 ; 0415657598 ; 0415657601
    Database ECONomics Information System

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  5. Book ; Online: Making it Happen

    Ryall, Michael D / Bramson, Aaron L

    2013  

    Abstract: Ryall and Bramson's Inference and Intervention is the first textbook on causal modeling with Bayesian networks for business applications. In a world of resource scarcity, a decision about which business elements to control or change - as the authors put ... ...

    Abstract Ryall and Bramson's Inference and Intervention is the first textbook on causal modeling with Bayesian networks for business applications. In a world of resource scarcity, a decision about which business elements to control or change - as the authors put it, a managerial intervention - must precede any decision on how to control or change them, and understanding causality is crucial to making effective interventions.The authors cover the full spectrum of causal modeling techniques useful for the managerial role, whether for intervention, situational assessment, strategic decisi
    Language English
    Size Online-Ressource (276 p)
    Publisher Taylor and Francis
    Publishing place Hoboken
    Document type Book ; Online
    Note Description based upon print version of record
    ISBN 9780415657594 ; 0415657598
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  6. Book ; Online: Making it Happen

    Ryall, Michael D / Bramson, Aaron L

    2013  

    Abstract: Ryall and Bramson's Inference and Intervention is the first textbook on causal modeling with Bayesian networks for business applications. In a world of resource scarcity, a decision about which business elements to control or change - as the authors put ... ...

    Abstract Ryall and Bramson's Inference and Intervention is the first textbook on causal modeling with Bayesian networks for business applications. In a world of resource scarcity, a decision about which business elements to control or change - as the authors put it, a managerial intervention - must precede any decision on how to control or change them, and understanding causality is crucial to making effective interventions.The authors cover the full spectrum of causal modeling techniques useful for the managerial role, whether for intervention, situational assessment, strategic decisi
    Language English
    Size Online-Ressource (276 p)
    Document type Book ; Online
    Note Description based upon print version of record
    ISBN 9780415657594 ; 0415657598
    Database ECONomics Information System

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  7. Article ; Online: A multidisciplinary understanding of polarization.

    Jung, Jiin / Grim, Patrick / Singer, Daniel J / Bramson, Aaron / Berger, William J / Holman, Bennett / Kovaka, Karen

    The American psychologist

    2019  Volume 74, Issue 3, Page(s) 301–314

    Abstract: This article aims to describe the last 10 years of the collaborative scientific endeavors on polarization in particular and collective problem-solving in general by our multidisciplinary research team. We describe the team's disciplinary composition- ... ...

    Abstract This article aims to describe the last 10 years of the collaborative scientific endeavors on polarization in particular and collective problem-solving in general by our multidisciplinary research team. We describe the team's disciplinary composition-social psychology, political science, social philosophy/epistemology, and complex systems science-highlighting the shared and unique skill sets of our group members and how each discipline contributes to studying polarization and collective problem-solving. With an eye to the literature on team dynamics, we describe team logistics and processes that we believe make our multidisciplinary team persistent and productive. We emphasize challenges and difficulties caused by disciplinary differences in terms of terminology, units/levels of analysis, methodology, and theoretical assumptions. We then explain how work disambiguating the concepts of polarization and developing an integrative theoretical and methodological framework with complex systems perspectives has helped us overcome these challenges. We summarize the major findings that our research has produced over the past decade, and describe our current research and future directions. Last, we discuss lessons we have learned, including difficulties in a "three models" project and how we addressed them, with suggestions for effective multidisciplinary team research. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
    MeSH term(s) Cooperative Behavior ; Group Processes ; Humans ; Interdisciplinary Studies ; Problem Solving ; Psychology, Social
    Language English
    Publishing date 2019-04-03
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 209464-2
    ISSN 1935-990X ; 0003-066X
    ISSN (online) 1935-990X
    ISSN 0003-066X
    DOI 10.1037/amp0000450
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Statistical physics of balance theory.

    Belaza, Andres M / Hoefman, Kevin / Ryckebusch, Jan / Bramson, Aaron / van den Heuvel, Milan / Schoors, Koen

    PloS one

    2017  Volume 12, Issue 8, Page(s) e0183696

    Abstract: Triadic relationships are accepted to play a key role in the dynamics of social and political networks. Building on insights gleaned from balance theory in social network studies and from Boltzmann-Gibbs statistical physics, we propose a model to ... ...

    Abstract Triadic relationships are accepted to play a key role in the dynamics of social and political networks. Building on insights gleaned from balance theory in social network studies and from Boltzmann-Gibbs statistical physics, we propose a model to quantitatively capture the dynamics of the four types of triadic relationships in a network. Central to our model are the triads' incidence rates and the idea that those can be modeled by assigning a specific triadic energy to each type of triadic relation. We emphasize the role of the degeneracy of the different triads and how it impacts the degree of frustration in the political network. In order to account for a persistent form of disorder in the formation of the triadic relationships, we introduce the systemic variable temperature. In order to learn about the dynamics and motives, we propose a generic Hamiltonian with three terms to model the triadic energies. One term is connected with a three-body interaction that captures balance theory. The other terms take into account the impact of heterogeneity and of negative edges in the triads. The validity of our model is tested on four datasets including the time series of triadic relationships for the standings between two classes of alliances in a massively multiplayer online game (MMOG). We also analyze real-world data for the relationships between the "agents" involved in the Syrian civil war, and in the relations between countries during the Cold War era. We find emerging properties in the triadic relationships in a political network, for example reflecting itself in a persistent hierarchy between the four triadic energies, and in the consistency of the extracted parameters from comparing the model Hamiltonian to the data.
    MeSH term(s) Game Theory ; Humans ; Internationality ; Models, Statistical ; Politics ; Warfare
    Language English
    Publishing date 2017
    Publishing country United States
    Document type Journal Article ; Validation Studies
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0183696
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Philosophical Analysis in Modeling Polarization: Notes from a Work in Progress.

    Grim, Patrick / Bramson, Aaron / Singer, Daniel J / Fisher, Steven / Flocken, Carissa / Berger, William

    APA newsletters

    2013  Volume 12, Issue 1, Page(s) 7–15

    Language English
    Publishing date 2013-12-16
    Publishing country United States
    Document type Journal Article
    ISSN 2155-9708
    ISSN 2155-9708
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Scientific Networks on Data Landscapes: Question Difficulty, Epistemic Success, and Convergence.

    Grim, Patrick / Singer, Daniel J / Fisher, Steven / Bramson, Aaron / Berger, William J / Reade, Christopher / Flocken, Carissa / Sales, Adam

    Episteme (Edinburgh)

    2014  Volume 10, Issue 4, Page(s) 441–464

    Abstract: A scientific community can be modeled as a collection of epistemic agents attempting to answer questions, in part by communicating about their hypotheses and results. We can treat the pathways of scientific communication as a network. When we do, it ... ...

    Abstract A scientific community can be modeled as a collection of epistemic agents attempting to answer questions, in part by communicating about their hypotheses and results. We can treat the pathways of scientific communication as a network. When we do, it becomes clear that the interaction between the structure of the network and the nature of the question under investigation affects epistemic desiderata, including accuracy and speed to community consensus. Here we build on previous work, both our own and others', in order to get a firmer grasp on precisely which features of scientific communities interact with which features of scientific questions in order to influence epistemic outcomes. Here we introduce a measure on the landscape meant to capture some aspects of the difficulty of answering an empirical question. We then investigate both how different communication networks affect whether the community finds the best answer and the time it takes for the community to reach consensus on an answer. We measure these two epistemic desiderata on a continuum of networks sampled from the Watts-Strogatz spectrum. It turns out that finding the best answer and reaching consensus exhibit radically different patterns. The time it takes for a community to reach a consensus in these models roughly tracks mean path length in the network. Whether a scientific community finds the best answer, on the other hand, tracks neither mean path length nor clustering coefficient.
    Language English
    Publishing date 2014-02-13
    Publishing country Scotland
    Document type Journal Article
    ZDB-ID 2269059-1
    ISSN 1750-0117 ; 1742-3600
    ISSN (online) 1750-0117
    ISSN 1742-3600
    DOI 10.1017/epi.2013.36
    Database MEDical Literature Analysis and Retrieval System OnLINE

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